Characterization of a novel peptide mined from the Red Sea brine pools and modified to enhance its anticancer activity.

ABSTRACT: Drug resistance is a major cause of the inefficacy of conventional cancer therapies, and often accompanied by severe side effects. Thus, there is an urgent need to develop novel drugs with low cytotoxicity, high selectivity and minimal acquired chemical resistance. Peptide-based drugs (less than 0.5 kDa) have emerged as a potential approach to address these issues due to their high specificity and potent anticancer activity. In this study, we developed a support vector machine model (SVM) to detect the potential anticancer properties of novel peptides by scanning the American University in Cairo (AUC) Red Sea metagenomics library. We identified a novel 37-mer antimicrobial peptide through SVM pipeline analysis and characterized its anticancer potential through in silico cross-examination.

SUBMITTER: Abdou YT 

PROVIDER: S-EPMC10369728 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature